{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp07_retrospective_selector60_20260803","cell_code":"E7C026","selector_replication":2,"assessments":[{"blind_id":"CANDIDATE_A","problem_reality_importance":89,"causal_archetype_fit":91,"distinctiveness_prior_art_resilience":58,"operational_specificity":94,"falsifiability_test_quality":92,"adopter_partner_path":75,"deployability_complexity":44,"authority_safety_reversibility":94,"strict_potential":76,"empirical_partner_potential":85,"scrutiny_priority":81,"biggest_visible_risk":"A correlated or mistimed forward model could cancel a genuine external load or fault, making the supervisory residual falsely reassuring.","rationale":"The command copy is causally central rather than decorative, and the proposal preserves raw limits, deterministic fallback, configuration authority, and a sharply bounded simulation/HIL comparison against strong rivals. Its main liabilities are the substantial synchronization, verification, and certification burden and a contrastive claim vulnerable to conventional observer or command-conditioned monitoring approaches."},{"blind_id":"CANDIDATE_B","problem_reality_importance":79,"causal_archetype_fit":75,"distinctiveness_prior_art_resilience":49,"operational_specificity":90,"falsifiability_test_quality":89,"adopter_partner_path":61,"deployability_complexity":42,"authority_safety_reversibility":93,"strict_potential":61,"empirical_partner_potential":76,"scrutiny_priority":68,"biggest_visible_risk":"A shared but wrong baseline can make omitted information look safely redundant, while the residual interface may add workload without improving on complete handoffs or change highlighting.","rationale":"The proposal is unusually explicit about reconstruction, acknowledgement, missingness, protected fields, and decompression, and its controller simulation could decisively reject the approach. However, the problem may arise chiefly from bad or unavailable source state rather than repeated content, the human-factors and procedural adoption path is difficult, and simpler revision highlighting or full-state workflows are strong-looking rivals."},{"blind_id":"CANDIDATE_C","problem_reality_importance":91,"causal_archetype_fit":96,"distinctiveness_prior_art_resilience":62,"operational_specificity":95,"falsifiability_test_quality":94,"adopter_partner_path":89,"deployability_complexity":74,"authority_safety_reversibility":96,"strict_potential":84,"empirical_partner_potential":93,"scrutiny_priority":90,"biggest_visible_risk":"Predictor error, version skew, or burst fallback could yield plausible but incorrect reconstructions or consume the link precisely when unexpected full-context evidence is needed.","rationale":"This is the cleanest causal use of the archetype: prediction plus transmitted residual directly addresses a measurable bandwidth constraint and enables reconstruction. The retrospective study is partner-accessible, bounded, safe, quantitatively decisive, and includes overhead, packet-loss, rival-codec, audit, and fallback accounting. Its primary scrutiny vulnerability is that established compression, fixed prioritization, or event reporting may match the claimed benefit with less model governance."},{"blind_id":"CANDIDATE_D","problem_reality_importance":86,"causal_archetype_fit":83,"distinctiveness_prior_art_resilience":55,"operational_specificity":94,"falsifiability_test_quality":93,"adopter_partner_path":86,"deployability_complexity":77,"authority_safety_reversibility":96,"strict_potential":72,"empirical_partner_potential":90,"scrutiny_priority":83,"biggest_visible_risk":"Residual ordering may anchor inspectors away from a subtle new defect, while mandatory complete-coverage rules could erase the proposed attention benefit.","rationale":"The proposal offers a highly feasible retrospective reader study with authoritative raw data, qualified-human disposition, protected zones, blinded audits, and explicit decompression under acquisition faults. The empirical-partner lane is strong. Strict potential is weaker because registered difference maps, existing review aids, or mandatory full traversal may provide the same value or require duplication of the entire workload, making the predictive residual layer nonessential."}],"rank_order":["CANDIDATE_C","CANDIDATE_D","CANDIDATE_A","CANDIDATE_B"],"top_choice":"CANDIDATE_C","portfolio_observation":"All four proposals are unusually bounded, reversible, and falsifiable, so the ordering turns mainly on causal necessity, partner feasibility, and the strength of simpler rivals. C most directly couples the archetype to a measurable resource constraint; D has the easiest high-value reader study but a possible full-coverage contradiction; A is technically strong but safety-critical and verification-heavy; B faces the greatest baseline-induced omission and operational adoption risk.","confidence":"HIGH"}